- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
Proven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modeling and software architectureDeep knowledge of math, probability, statistics and algorithmsAbility to write robust code in Python, Java and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics or similar field; Master’s degree is a plus